Our motivation is to shed light the performance of the widely popular
"R...
We propose an approach to better inform treatment decisions at an indivi...
In this article we propose and validate an unsupervised probabilistic mo...
Online testing procedures assume that hypotheses are observed in sequenc...
Online testing procedures aim to control the extent of false discoveries...
Analyzing temporal data (e.g., wearable device data) requires a decision...
Popular guidance on observational data analysis states that outcomes sho...
MFEM is an open-source, lightweight, flexible and scalable C++ library f...
Estimators based on influence functions (IFs) have been shown effective ...
There are serious drawbacks to many current variable importance (VI) met...